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Estimating Population-Level Coancestry Coefficients by an Admixture F Model

机译:通过混合F模型估计人口水平的先验系数

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In this article, we develop an admixture F model (AFM) for the estimation of population-level coancestry coefficients from neutral molecular markers. In contrast to the previously published F model, the AFM enables disentangling small population size and lack of migration as causes of genetic differentiation behind a given level of F-ST. We develop a Bayesian estimation scheme for fitting the AFM to multiallelic data acquired from a number of local populations. We demonstrate the performance of the AFM, using simulated data sets and real data on ninespine sticklebacks (Pungitius pungitius) and common shrews (Sorex araneus). The results show that the parameterization of the AFM conveys more information about the evolutionary history than a simple summary parameter such as F-ST. The methods are implemented in the R package RAFM.
机译:在本文中,我们开发了一种外加剂F模型(AFM),用于从中性分子标记物估计种群水平的后代系数。与先前发布的F模型相反,AFM可以解开较小的种群规模和缺乏迁移,这是在给定水平的F-ST之后遗传分化的原因。我们开发了一种贝叶斯估计方案,用于将AFM拟合到从许多本地人群中获得的多等位基因数据。我们通过使用模拟数据集和关于九脊棘stick(Pungitius pungitius)和普通sh(Sorex araneus)的真实数据来演示AFM的性能。结果表明,与简单的摘要参数(例如F-ST)相比,AFM的参数化传达了更多有关进化历史的信息。该方法在R包RAFM中实现。

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